Last Update Date: Feb 24, 2020
- AI Weekly: Why a slow movement for machine learning could be a good thing
K Wiggers, Venture Beat, February 21, 2020 - How COVID-19 Spreads
CDC, February 2020 - Interim Guidance for Collection and Submission of Postmortem Specimens from Deceased Persons Under Investigation (PUI) for COVID
CDC, February 2020 - Our phones can now detect health problems from Parkinson’s to depression. Is that a good thing?
L Parshley, VOX, February 2020 - The data economy- A deluge of data is giving rise to a new economy
The Economist, February 2020 - Machine learning application for development of a data-driven predictive model able to investigate quality of life scores in a rare disease.
Spiga Ottavia et al. Orphanet journal of rare diseases 2020 Feb 15(1) 46 - Hidden in Plain Sight: Machine Learning in Acute Kidney Injury
EL Gill et al, Clin Chem, February 13, 2020 - Defining the Epidemiology of Covid-19 - Studies Needed.
Lipsitch Marc et al. The New England journal of medicine 2020 Feb - Application of Twitter and web news mining in infectious disease surveillance systems and prospects for public health.
Jahanbin Kia et al. GMS hygiene and infection control 2019 14Doc19 - A fitting machine learning prediction model for short-term mortality following percutaneous catheterization intervention: a nationwide population-based study.
Hsieh Meng-Hsuen et al. Annals of translational medicine 2019 Dec 7(23) 732 - Introducing artificial intelligence in acute psychiatric inpatient care: qualitative study of its use to conduct nursing observations.
Barrera Alvaro et al. Evidence-based mental health 2020 Feb 23(1) 34-38 - Evaluation of machine learning methods to stroke outcome prediction using a nationwide disease registry.
Lin Ching-Heng et al. Computer methods and programs in biomedicine 2020 Feb 190105381 - Evaluation of Significant Coronary Artery Disease Based on CT Fractional Flow Reserve and Plaque Characteristics Using Random Forest Analysis in Machine Learning.
Kawasaki Tomohiro et al. Academic radiology 2020 Feb - Artificial intelligence outperforms human students in conducting neurosurgical audits.
Brzezicki Maksymilian A et al. Clinical neurology and neurosurgery 2020 Feb 192105732 - MRI-Based Machine Learning for Differentiating Borderline From Malignant Epithelial Ovarian Tumors: A Multicenter Study.
Li Yong'ai et al. Journal of magnetic resonance imaging : JMRI 2020 Feb - Development and Validation of a Deep Neural Network for Accurate Evaluation of Endoscopic Images From Patients with Ulcerative Colitis.
Takenaka Kento et al. Gastroenterology 2020 Feb - Predicting sporadic Alzheimer's disease progression via inherited Alzheimer's disease-informed machine-learning.
Franzmeier Nicolai et al. Alzheimer's & dementia : the journal of the Alzheimer's Association 2020 Feb - Artificial Intelligence for MR Image Reconstruction: An Overview for Clinicians.
Lin Dana J et al. Journal of magnetic resonance imaging : JMRI 2020 Feb - Accuracy of Vital Signs Measurements by a Smartwatch and a Portable Health Device: Validation Study.
Hahnen Christina et al. JMIR mHealth and uHealth 2020 Feb 8(2) e16811 - DeepDose: towards a fast dose calculation engine for radiation therapy using deep learning.
Kontaxis Charis et al. Physics in medicine and biology 2020 Feb
Disclaimer: Articles listed in Non-Genomics Precision Health Update are selected by the CDC Office of Public Health Genomics to provide current awareness of the scientific literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the Clips, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
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